skills 是做什么的？
用于 Caesar 搜索的智能体技能
用于 Caesar 搜索的智能体技能
`caesar-data/skills` 是一套为 AI 智能体（如 Claude Code、Cursor 或 Codex）设计的技能，专门用于增强 Caesar 数据搜索功能。它封装了搜索模式、查询构造和结果解析逻辑，使智能体能高效地从 Caesar 数据集中查找信息。该技能支持通过自然语言或结构化参数进行搜索，并自动处理分页、排序和过滤等操作。开发者可利用这套技能快速集成 Caesar 搜索能力，减少重复编码工作，并提升智能体在数据检索场景下的表现。适用于需要以 AI 驱动方式访问 Caesar 数据的任何开发或数据分析任务。
npx skills add caesar-data/skillsInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
用于 Caesar 搜索的智能体技能
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.